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» On the Hardness of Approximate Reasoning
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NETWORKS
2011
14 years 6 months ago
Line planning, path constrained network flow and inapproximability
Abstract. We consider a basic subproblem which arises in line planning, and is of particular importance in the context of a high system load or robustness: How much can be routed m...
Christina Büsing, Sebastian Stiller
STOC
2004
ACM
109views Algorithms» more  STOC 2004»
16 years 4 days ago
Approximating the cut-norm via Grothendieck's inequality
The cut-norm ||A||C of a real matrix A = (aij)iR,jS is the maximum, over all I R, J S of the quantity | iI,jJ aij|. This concept plays a major role in the design of efficient app...
Noga Alon, Assaf Naor
APPROX
2008
Springer
107views Algorithms» more  APPROX 2008»
15 years 1 months ago
A General Framework for Designing Approximation Schemes for Combinatorial Optimization Problems with Many Objectives Combined in
Abstract. In this paper, we propose a general framework for designing fully polynomial time approximation schemes for combinatorial optimization problems, in which more than one ob...
Shashi Mittal, Andreas S. Schulz
ESANN
2004
15 years 1 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
MFCS
2005
Springer
15 years 5 months ago
Tight Approximability Results for the Maximum Solution Equation Problem over Zp
In the maximum solution equation problem a collection of equations are given over some algebraic structure. The objective is to find an assignment to the variables in the equation...
Fredrik Kuivinen